Pipenv: tensorflow/html5lib "Suas dependências não puderam ser resolvidas", mas não consigo ver o problema

amg isso é real

ainda por cima, essas versões malucas têm vulnerabilidades de segurança

$ pipenv check
Checking PEP 508 requirements…
Passed!
Checking installed package safety…
25846: html5lib <0.99999999 resolved (0.9999999 installed)!
html5lib before 0.99999999 is vulnerable to a XSS attack. Upgrading avoids the XSS bug potentially caused by serializer allowing attribute values to be escaped out of in old browser versions, changing the quote_attr_values option on serializer to take one of three values, "always" (the old True value), "legacy" (the new option,  and the new default), and "spec" (the old False value, and the old default).

35693: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of the < (less than) character in attribute values.

35694: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of special characters in attribute values, a different vulnerability than CVE-2016-9909.

34965: bleach <2.1 resolved (1.5.0 installed)!
bleach 2.1 converts control characters (backspace particularly) to "?" preventing malicious copy-and-paste situations.

Acho que a parte do problema é:
Could not find a version that matches html5lib...==0.9999999,>=0.99999999pre

Não vejo de onde vem o especificador >=0.99999999pre , não é mencionado na saída pipenv graph

aparentemente vem do pacote bleach , mas não da versão instalada:

bleach [required: ==1.5.0, installed: 1.5.0]

comparar:
https://github.com/mozilla/bleach/blob/v1.5/setup.py

https://github.com/mozilla/bleach/blob/v2.1.3/setup.py

Baixei o tarball 1.5.0 do PyPI para confirmar

o setup.py contém:

install_requires = [
    'six',
    # 3 9s up to but not including 8 9s, but not 4 9s or 5 9s because they're
    # busted
    'html5lib>=0.999,!=0.9999,!=0.99999,<0.99999999',
]

mas a meta info na página PyPI do pacote mostra os requisitos da versão mais recente (naturalmente):

Requer Distribuições
html5lib (!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre)
seis

algum problema aqui?

lendo mais o tópico do problema do tensorboard vinculado acima ...

para confundir ainda mais, pip tem sua própria versão de html5lib
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/html5lib/__init__.py
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/vendor.txt

html5lib==1.0b10

não tenho certeza se isso está envolvido de alguma maneira horrível

você está usando o mais recente?

Estou dentro do shell pipenv do meu projeto

pipenv, version 11.6.1
pip 9.0.1
python 3.6

metadados dentro do bleach 1.5.0 _wheel_ do PyPI também parecem corretos

o conflito relatado:

Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre

parece corresponder exatamente aos requisitos na versão _latest_ (2.1.3) do bleach

install_requires = [
    'six',
    # >= 8 9s because of breaking API change
    # the 'pre' suffix is needed for supporting '1.0b*' versions
    'html5lib>=0.99999999pre,!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8',
]

adicionado ao requisito de tensorboard https://github.com/tensorflow/tensorboard/blob/0.1.8/tensorboard/pip_package/setup.py

REQUIRED_PACKAGES = [
    'numpy >= 1.11.0',
    'six >= 1.10.0',
    'protobuf >= 3.2.0',
    'werkzeug >= 0.11.10',
    'html5lib == 0.9999999',  # identical to 1.0b8
    'markdown >= 2.6.8',
    'bleach == 1.5.0',
]

Então parece que algo estranho está acontecendo ao determinar os requisitos para lixívia == 1.5.0

Eu estou tendo o mesmo problema. pipenv install reclama que as dependências precisam de cryptography<1.0,>=1.7.2,>=1.8.1,>=1.8.2,>=1.9 (o que obviamente nunca pode resolver), mas não consigo ver nenhum dos meus pacotes exigindo cryptography<1.0 em pipenv graph . Não sei o que fazer, pois não instala de jeito nenhum.

@skorokithakis por favor abra um problema separado

@anentropic você tentou a versão mais recente do pipenv?

@anentropic também não execute pipenv de _inside_ o shell pipenv, isso não deve funcionar. Tente novamente de _fora_ do shell pipenv e deixe-nos saber se ainda está quebrado

@techalchemy uh, sim, é.

que é literalmente o principal projeto por trás deste projeto

Ok, atualizei o pipenv 11.6.1 --> 11.6.9

mesmo problema

$ pipenv --version
pipenv, version 11.6.9
$ pipenv lock
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Eu não posso dizer o que está acontecendo com esses números de versão.

Posso dizer que isso não deve mudar tão cedo, no entanto.

com certeza vou continuar pesquisando se achar algo

mais alguns detalhes:

• Não tenho Pipfile.lock no momento (não é possível criar um)
• Eu tentei desativar meu shell pipenv, excluindo a pasta virtualenv associada e executando pipenv install (ou seja, recomeçar do zero) ... mesmo problema

Eu também posso reproduzir com um exemplo mínimo... em um novo shell, crie um diretório vazio, o seguinte Pipfile e execute pipenv install

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

tensorflow = "*"


[requires]

python_version = "3.6"

pipenv lock --verbose deve esclarecer isso

==0.9999999,>=0.99999999pre parece ser insolúvel para mim.

esse esquema de versionamento é simplesmente absurdo

o ponto é que o requisito >=0.99999999pre é atribuído a bleach==1.5.0 mas esse projeto nessa versão não especifica essa dependência

Não sei de onde pipenv ou ferramentas subjacentes obtêm as informações de dependência, o servidor PyPI está mentindo de alguma forma?

Aqui está a saída detalhada:

Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  absl-py==0.1.11           requires six
  wheel==0.30.0             requires -
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  termcolor==1.1.0          requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  protobuf==3.5.2           requires setuptools, six>=1.9
  gast==0.2.0               requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  six==1.11.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  numpy==1.14.2             requires -
  werkzeug==0.14.1          requires -
  absl-py==0.1.11           requires six
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  protobuf==3.5.2           requires setuptools, six>=1.9
  markdown==2.6.11          requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  astor==0.6.2              requires -
  termcolor==1.1.0          requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  astor==0.6.2              requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  wheel==0.30.0             requires -
  protobuf==3.5.2           requires setuptools, six>=1.9
  termcolor==1.1.0          requires -
  absl-py==0.1.11           requires six
  gast==0.2.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  protobuf==3.5.2           requires setuptools, six>=1.9
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  markdown==2.6.11          requires -
  termcolor==1.1.0          requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  six==1.11.0               requires -
  absl-py==0.1.11           requires six
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  wheel==0.30.0             requires -
  werkzeug==0.14.1          requires -

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

olha, não vamos poder fazer nada sobre isso.

tente 11.8.0

Sucesso!

Acho que encontrei um erro semelhante com django e django_pyodbc_azure. Eu preciso instalar as versões <2, então eu executo este comando:

pipenv install django<2 django-pyodbc-azure<2

Aqui está o que eu recebo:

Installing django<2…
Collecting django<2
  Using cached Django-1.11.11-py2.py3-none-any.whl
Collecting pytz (from django<2)
  Using cached pytz-2018.3-py2.py3-none-any.whl
Installing collected packages: pytz, django
Successfully installed django-1.11.11 pytz-2018.3

Adding django<2 to Pipfile's [packages]…
Installing django-pyodbc-azure<2…
Collecting django-pyodbc-azure<2
  Using cached django_pyodbc_azure-1.11.11.0-py2.py3-none-any.whl
Collecting pyodbc>=3.0 (from django-pyodbc-azure<2)
  Using cached pyodbc-4.0.22-cp36-cp36m-win_amd64.whl
Requirement already satisfied: Django<2.0,>=1.11.11 in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from django-pyodbc-azure<2)
Requirement already satisfied: pytz in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from Django<2.0,>=1.11.11->django-pyodbc-azure<2)
Installing collected packages: pyodbc, django-pyodbc-azure
Successfully installed django-pyodbc-azure-1.11.11.0 pyodbc-4.0.22

Adding django-pyodbc-azure<2 to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches django<2,<2.1,>=2.0.3
Tried: 1.1.3, 1.1.4, 1.2, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.3, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.4.9, 1.4.10, 1.4.11, 1.4.12, 1.4.13, 1.4.14, 1.4.15, 1.4.16, 1.4.17, 1.4.18, 1.4.19, 1.4.20, 1.4.21, 1.4.22, 1.5, 1.5.1, 1.5.2, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.5.8, 1.5.9, 1.5.10, 1.5.11, 1.5.12, 1.5.12, 1.6, 1.6, 1.6.1, 1.6.1, 1.6.2, 1.6.2, 1.6.3, 1.6.3, 1.6.4, 1.6.4, 1.6.5, 1.6.5, 1.6.6, 1.6.6, 1.6.7, 1.6.7, 1.6.8, 1.6.8, 1.6.9, 1.6.9, 1.6.10, 1.6.10, 1.6.11, 1.6.11, 1.7, 1.7, 1.7.1, 1.7.1, 1.7.2, 1.7.2, 1.7.3, 1.7.3, 1.7.4, 1.7.4, 1.7.5, 1.7.5, 1.7.6, 1.7.6, 1.7.7, 1.7.7, 1.7.8, 1.7.8, 1.7.9, 1.7.9, 1.7.10, 1.7.10, 1.7.11, 1.7.11, 1.8a1, 1.8b1, 1.8b2, 1.8rc1, 1.8, 1.8, 1.8.1, 1.8.1, 1.8.2, 1.8.2, 1.8.3, 1.8.3, 1.8.4, 1.8.4, 1.8.5, 1.8.5, 1.8.6, 1.8.6, 1.8.7, 1.8.7, 1.8.8, 1.8.8, 1.8.9, 1.8.9, 1.8.10, 1.8.10, 1.8.11, 1.8.11, 1.8.12, 1.8.12, 1.8.13, 1.8.13, 1.8.14, 1.8.14, 1.8.15, 1.8.15, 1.8.16, 1.8.16, 1.8.17, 1.8.17, 1.8.18, 1.8.18, 1.8.19, 1.8.19, 1.9a1, 1.9b1, 1.9rc1, 1.9rc2, 1.9, 1.9, 1.9.1, 1.9.1, 1.9.2, 1.9.2, 1.9.3, 1.9.3, 1.9.4, 1.9.4, 1.9.5, 1.9.5, 1.9.6, 1.9.6, 1.9.7, 1.9.7, 1.9.8, 1.9.8, 1.9.9, 1.9.9, 1.9.10, 1.9.10, 1.9.11, 1.9.11, 1.9.12, 1.9.12, 1.9.13, 1.9.13, 1.10a1, 1.10a1, 1.10b1, 1.10b1, 1.10rc1, 1.10rc1, 1.10, 1.10, 1.10.1, 1.10.1, 1.10.2, 1.10.2, 1.10.3, 1.10.3, 1.10.4, 1.10.4, 1.10.5, 1.10.5, 1.10.6, 1.10.6, 1.10.7, 1.10.7, 1.10.8, 1.10.8, 1.11a1, 1.11b1, 1.11rc1, 1.11rc1, 1.11, 1.11, 1.11.1, 1.11.1, 1.11.2, 1.11.2, 1.11.3, 1.11.3, 1.11.4, 1.11.4, 1.11.5, 1.11.5, 1.11.6, 1.11.6, 1.11.7, 1.11.7, 1.11.8, 1.11.8, 1.11.9, 1.11.9, 1.11.10, 1.11.10, 1.11.11, 1.11.11, 2.0a1, 2.0b1, 2.0rc1, 2.0, 2.0, 2.0.1, 2.0.1, 2.0.2, 2.0.2, 2.0.3, 2.0.3

Contornei esse erro especificando o branch:
django-pyodbc-azure = {git = "https://github.com/michiya/django-pyodbc-azure", ref = "azure-1.11"}

Eu atualizei para 11.8.0, mas ainda tenho o mesmo problema

no entanto, meu colega não conseguiu reproduzi-lo do meu exemplo mínimo

No momento estou depurando e postarei mais informações quando tiver alguns

tudo bem, isso é estranho

Consegui trabalhar por:

$ pyenv virtualenv pipenvtemp
$ pyenv activate pipenvtemp
pipenvtemp > $ pip install pipenv
pipenvtemp > $ pipenv lock

Isso agora quebrou minha instalação 'externa' do pipenv:

pipenvtemp > $ source deactivate
$ pipenv lock
pyenv: pipenv: command not found

The `pipenv' command exists in these Python versions:
  2.7.11/envs/pipenvtemp
  pipenvtemp

$ pipsi install pipenv
pipenv is already installed

então eu tenho uma interação horrível entre pyenv-virtualenv, pipsi e pipenv no meu sistema

Achei que tinha seguido fielmente as instruções de instalação, mas talvez o estado existente do meu sistema não fosse compatível

Acho que agora tenho que tentar acabar com todos os meus Pythons e configurar meu ambiente de desenvolvimento do zero 😢

Oh, é específico para python 3 de alguma forma, eu tentei o truque pyenv-virtualenv acima com meu projeto real e não funcionou.

E se eu tentar novamente com o exemplo mínimo, mas usando Python 3.6.4 em vez de 2.7, não funcionará:

$ pyenv virtualenv 3.6.4 pipenvtemp-py3
$ pyenv activate pipenvtemp-py3
pipenvtemp-py3 > $ pip install pipenv
pipenvtemp-py3 > $ rm Pipfile.lock
pipenvtemp-py3 > $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@anentropic apenas desinstale todos os pipenvs que você possui, em todos os lugares, e reinstale usando o sistema 3.6.4 com --user

Bem, eu encontrei o problema e uma solução, se não uma explicação de como isso aconteceu.

Passei um tempo percorrendo o código subjacente, ou seja,

from pipenv.patched.piptools.repositories import PyPIRepository
from pipenv.patched.piptools.scripts.compile import get_pip_command
from pipenv.patched.notpip.req.req_install import InstallRequirement
from pipenv.patched.piptools.resolver import Resolver

pip_command = get_pip_command()
pip_options, _ = pip_command.parse_args([])
session = pip_command._build_session(pip_options)
pypi = PyPIRepository(pip_options=pip_options, use_json=False, session=session)

# first observe that this returns correct constraints:
ireq = InstallRequirement.from_line('bleach==1.5.0')
pypi.get_dependencies(ireq)
{<InstallRequirement object: six (from bleach==1.5.0) editable=False>,
 <InstallRequirement object: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 (from bleach==1.5.0) editable=False>}

# I added the following breakpoint at pipenv/patched/piptools/resolver.py:200
            if str(best_match.req) == 'bleach==1.5.0':
                import ipdb; ipdb.set_trace()

# then ran the resolver:
ireq = InstallRequirement.from_line('tensorflow==1.3.0')
resolver = Resolver(constraints=[ireq], repository=pypi)
resolver.resolve()

# stepping through we fail this check, showing that 'html5lib' is already in the cache
    if ireq not in self.dependency_cache:

# so next it fetches dep from cache:
ipdb> pp self.dependency_cache[ireq]
['html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre',
 'six']
# aha!
ipdb> self.dependency_cache._cache_file
'/Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json'

De alguma forma, o requisito falso html5lib>=0.99999999pre ficou preso no arquivo de cache de dependência.

Agora eu sabia o que fazer...

pipenvtemp-py3 $ rm /Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json
pipenvtemp-py3 $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Sucesso - o arquivo de bloqueio foi criado sem erro.

Isso também explica por que funcionou no Python 2.7 - suponho que o pipenv tenha um arquivo de cache de dependência separado por versão do python.

@anentropic obrigado pela atualização! Deveríamos ter recomendado isso diretamente, bug, estou feliz que você tenha resolvido!

@anentropic @techalchemy Estou enfrentando o mesmo problema, mas remover /Users/.../Library/Caches/pipenv/depcache-py3.6.json não me ajudou. Alguma sugestão sobre o que mais posso tentar? Obrigado!

  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==1.0b8,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@henadzit Forneça informações para sua plataforma. Abra um novo problema para ver quais informações são esperadas para depurar seu problema. Você não precisa enviar um novo problema, só precisa verificar os campos e fornecê-los adequadamente aqui.

@uranusjr , com certeza! Aqui está

Versão do Pipenv: '11.9.0'

Localização do Pipenv: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/lib/python3.6/site-packages/pipenv'

Localização do Python: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python'

Outras instalações do Python em PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6m
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

Informações do PEP 508:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variáveis ​​de ambiente do sistema:

• TERM_PROGRAM
• PIP_PYTHON_PATH
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• PYTHONUNBUFFERED
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• USER
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• VIRTUAL_ENV
• DOCKER_TLS_VERIFY
• PIPENV_ACTIVE
• PATH
• PWD
• JAVA_HOME
• LETSENCRYPT_CERTS_FOLDER
• LANG
• DOPEOPLESAY_WEB_SECRET_KEY_BASE
• ITERM_PROFILE
• XPC_FLAGS
• PS1
• PYTHONDONTWRITEBYTECODE
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _

Variáveis ​​de ambiente específicas do Pipenv:

• PIPENV_ACTIVE : 1

Variáveis ​​de ambiente específicas de depuração:

• PATH : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin:/usr/local/Cellar/pipenv/11.9.0/libexec/tools:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/.rvm/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit
• VIRTUAL_ENV : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf

Conteúdo de Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

@uranusjr , desculpe por incomodá-lo, mas você teve a chance de ver a saída no meu comentário anterior? Muito obrigado!

@henadzit não ative o pipenv shell antes de executar a resolução de dependência. De _fora_ do shell pipenv, tente pipenv lock --verbose --clear e veja se isso resolve o problema

@techalchemy , obrigado pela sugestão! Eu tentei, mas acabei com o mesmo erro, infelizmente.

Aqui está a saída de pipenv.help sem pipenv shell .

Versão do Pipenv: '11.9.0'

Localização do Pipenv: '/Users/henadzit/.pyenv/versions/3.6.4/lib/python3.6/site-packages/pipenv'

Localização do Python: '/Users/henadzit/.pyenv/versions/3.6.4/bin/python'

Outras instalações do Python em PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6m
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

Informações do PEP 508:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variáveis ​​de ambiente do sistema:

• TERM_PROGRAM
• PYENV_ROOT
• SHELL
• TERM
• TMPDIR
• Apple_PubSub_Socket_Render
• DOCKER_HOST
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• PYENV_VERSION
• USER
• DOCKER_MACHINE_NAME
• SSH_AUTH_SOCK
• CPATH
• PYENV_DIR
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• PYENV_HOOK_PATH
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• COLORFGBG
• HOME
• SHLVL
• DOCKER_CERT_PATH
• PYENV_SHELL
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Variáveis ​​de ambiente específicas do Pipenv:

Variáveis ​​de ambiente específicas de depuração:

• PATH : /Users/henadzit/.pyenv/versions/3.6.4/bin:/usr/local/Cellar/pyenv/1.2.2/libexec:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit

Conteúdo de Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

🤔 Tente remover todo o diretório de cache manualmente .

@henadzit tente pipenv lock --clear ou limpe qualquer um dos seguintes diretórios, se existirem:

/Users/.../Library/Caches/pipenv
/Users/.../Library/Caches/pip-tools
/Users/.../Library/Caches/pip

@uranusjr @techalchemy , obrigado por tentar me ajudar! Eu tentei tudo o que você sugeriu e sem sorte. Eu criei um novo Pipfile com apenas dois pacotes e estou recebendo o mesmo erro. Abaixo está a saída de pipenv.help . Estou prestes a tentar executar este PIpfile no docker para ver se é apenas o meu ambiente.

Versão do Pipenv: '11.9.0'

Localização do Pipenv: '/usr/local/Cellar/pipenv/11.9.0/libexec/lib/python3.6/site-packages/pipenv'

Localização do Python: '/usr/local/Cellar/pipenv/11.9.0/libexec/bin/python3'

Outras instalações do Python em PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6m
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/anaconda3/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/anaconda3/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

Informações do PEP 508:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variáveis ​​de ambiente do sistema:

• TERM_PROGRAM
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• TERM_PROGRAM_VERSION
• OLDPWD
• TERM_SESSION_ID
• USER
• LD_LIBRARY_PATH
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Variáveis ​​de ambiente específicas do Pipenv:

Variáveis ​​de ambiente específicas de depuração:

• PATH : /Users/henadzit/anaconda3/bin:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/workspace/torch/install/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/pipenv-html5lib-issue

Conteúdo de Pipfile ('/Users/henadzit/workspace/pipenv-html5lib-issue/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]
jupyter = "==1.0.0"
spacy = "==2.0.10"

[dev-packages]

[requires]

python_version = "3.6.4"

@uranusjr @techalchemy , parece que o problema não está relacionado ao meu ambiente. Consegui reproduzir o problema no ambiente completamente limpo do docker. Eu criei um repositório para mostrar o problema, por favor, dê uma olhada se você tiver uma chance - https://github.com/henadzit/pipenv-html5lib-issue.

@henadzit Suas dependências na verdade não são resolvidas. Este é um problema com spaCy: https://github.com/explosion/spaCy/issues/2181.

@henadzit Como o spaCy está descartando sua versão necessária em 2.0.11, parecia mais correto usar a versão do TensorFlow. Não tenho certeza de qual é a maneira canônica de fazer isso, mas apenas (temporariamente, espero) puxei o tensorflow do meu Pipfile e instalei meus pacotes assim:

pipenv install
pip install tensorflow

@romanczuk , atualizei o espaço e resolveu o problema! Obrigado a todos pela ajuda!

Para mim o problema ainda persiste. Estou tentando instalar tensorflow e jupyter[notebook] . Enquanto o primeiro fixa bleach==1.5.0 , o segundo tem uma dependência transitiva não fixada bleach . Essa dependência parece adicionar a restrição >=0.99999999pre .

Eu posso recriar o comportamento tentando instalar o bleach (não fixado) e o tensorboard (que fixa a versão do bleach):

pipenv install bleach tensorboard
Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Using cached bleach-2.1.3-py2.py3-none-any.whl
Collecting six (from bleach)
  Using cached six-1.11.0-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Using cached html5lib-1.0.1-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Using cached webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Using cached tensorboard-1.7.0-py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Using cached Werkzeug-0.14.1-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Using cached bleach-1.5.0-py2.py3-none-any.whl
Collecting numpy>=1.12.0 (from tensorboard)
  Using cached numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Collecting markdown>=2.6.8 (from tensorboard)
  Using cached Markdown-2.6.11-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Using cached protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Installing collected packages: werkzeug, html5lib, bleach, numpy, markdown, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Ao executar install --skip-lock e graph não há sinal desta restrição:

$ pipenv install bleach tensorboard --skip-lock
...

$ pipenv graph | grep html5lib
    - html5lib [required: >=0.999,!=0.9999,!=0.99999,<0.99999999, installed: 0.9999999]
  - html5lib [required: ==0.9999999, installed: 0.9999999]

$ pipenv graph | grep bleach
  - bleach [required: ==1.5.0, installed: 1.5.0]

A remoção dos diretórios de cache não altera o comportamento. Estou executando pipenv versão 11.8.0 . Parece haver alguma interação com o estado global. Enquanto procurava por um exemplo mínimo, tentei a configuração acima várias vezes. Para uma corrida, o bloqueio funcionou. No entanto, não consegui reproduzir esse comportamento.

Detalhes adicionais:

$ pipenv --version
pipenv, version 11.8.0

$ pipenv graph
tensorboard==1.7.0
  - bleach [required: ==1.5.0, installed: 1.5.0]
    - html5lib [required: !=0.99999,!=0.9999,>=0.999,<0.99999999, installed: 0.9999999]
      - six [required: Any, installed: 1.11.0]
    - six [required: Any, installed: 1.11.0]
  - html5lib [required: ==0.9999999, installed: 0.9999999]
    - six [required: Any, installed: 1.11.0]
  - markdown [required: >=2.6.8, installed: 2.6.11]
  - numpy [required: >=1.12.0, installed: 1.14.2]
  - protobuf [required: >=3.4.0, installed: 3.5.2.post1]
    - setuptools [required: Any, installed: 39.0.1]
    - six [required: >=1.9, installed: 1.11.0]
  - six [required: >=1.10.0, installed: 1.11.0]
  - werkzeug [required: >=0.11.10, installed: 0.14.1]
  - wheel [required: >=0.26, installed: 0.31.0]
webencodings==0.5.1


$ cat Pipfile 
[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

bleach = "*"
tensorboard = "*"


[dev-packages]



[requires]

python_version = "3.6"

$ pipenv lock --clear --verbose
Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)

INFO:pip9._vendor.requests.packages.urllib3.connectionpool:Starting new HTTPS connection (1): pypi.python.org
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Ok, olhando para isso com cuidado, este é um conflito de dependência legítimo. html5lib>=0.99999999pre é um número maior que html5lib==0.9999999 então isso não pode ser resolvido. Basta colocar tensorboard na seção dev-packages por enquanto e pipenv install —dev — pipenv irá favorecer a resolução não-dev desta forma

Obrigado pela solução alternativa. Vou tentar.

O que me intriga: por que html5lib>=0.99999999pre surge como uma restrição? Tensorboard corrige bleach==1.5.0 . Portanto, o pacote adicional bleach passado para pipenv install não deve afetar o gráfico de dependência, não é?

Concretamente: dado que o tensorboard corrige bleach==1.5.0 , eu esperaria que o gráfico de dependência para ambas as chamadas fosse exatamente o mesmo:

pipenv install tensorboard

pipenv install bleach tensorboard

Isso acontece porque você o listou primeiro, o que pode ser corrigido se você trocar o pedido? Não tenho certeza. Tente isso também e me avise

Se eu adicionar água sanitária à linha de comando, ele falha (duas primeiras opções). Se eu instalar apenas o tensorboard, funciona (última opção). A saída do pipenv está dentro dos blocos de detalhes.

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard bleach

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: six, html5lib, werkzeug, markdown, numpy, protobuf, bleach, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Installing bleach…
Requirement already satisfied: bleach in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages
Requirement already satisfied: six in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)
Requirement already satisfied: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)

Adding bleach to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile
$ pipenv install bleach tensorboard 

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Downloading bleach-2.1.3-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Downloading html5lib-1.0.1-py2.py3-none-any.whl (117kB)
Collecting six (from bleach)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Downloading webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: werkzeug, markdown, html5lib, bleach, numpy, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock (d84f24) out of date, updating to (930330)…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard

# works

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: markdown, six, html5lib, bleach, numpy, werkzeug, protobuf, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
Updated Pipfile.lock (d84f24)!
Installing dependencies from Pipfile.lock (d84f24)…
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 9/9 — 00:00:04
To activate this project's virtualenv, run the following:
 $ pipenv shell

@techalchemy obrigado novamente pelo trabalho. Ele resolveu meu problema real (instalando jupyter + tensorflow): coloquei jupyter nos pacotes de desenvolvimento e mantive o tensorflow nos pacotes de produção. Desta forma, todos os pacotes podem ser bloqueados.